Design and Control of an SOFC/GT Hybrid Power Generation System with Low Carbon Emissions

Wei Wu; Shin An Chen; Ying Chuan Chiu

doi:10.1021/acs.iecr.5b01961

Design and Control of an SOFC/GT Hybrid Power Generation System with Low Carbon Emissions

Wei Wu, Shin An Chen, Ying Chuan Chiu

Department of Chemical Engineering

Research output: Contribution to journal › Article › peer-review

6 Citations (Scopus)

Abstract

The process design, simulation, and control of a solid oxide fuel cell (SOFC)/gas turbine (GT) hybrid power generation system combined with a compressed-fuel processing unit (CFPU) are presented. Given that CO₂ is the input of the CFPU, the net CO₂ emissions of this hybrid power system are suppressed under 324.2 g of CO₂/kWh. Using the combined heat and power (CHP) approach, the hybrid power efficiency increases from 33% to 50%. Based on a single-input-single-output (SISO) control configuration, an inferential power control strategy using a static inferential model is implemented to improve the accuracy of the power estimation and effectively regulates the SOFC power output.

Original language	English
Pages (from-to)	1281-1291
Number of pages	11
Journal	Industrial and Engineering Chemistry Research
Volume	55
Issue number	5
DOIs	https://doi.org/10.1021/acs.iecr.5b01961
Publication status	Published - 2016 Feb 10

All Science Journal Classification (ASJC) codes

Chemistry(all)
Chemical Engineering(all)
Industrial and Manufacturing Engineering

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10.1021/acs.iecr.5b01961

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abstract = "The process design, simulation, and control of a solid oxide fuel cell (SOFC)/gas turbine (GT) hybrid power generation system combined with a compressed-fuel processing unit (CFPU) are presented. Given that CO2 is the input of the CFPU, the net CO2 emissions of this hybrid power system are suppressed under 324.2 g of CO2/kWh. Using the combined heat and power (CHP) approach, the hybrid power efficiency increases from 33% to 50%. Based on a single-input-single-output (SISO) control configuration, an inferential power control strategy using a static inferential model is implemented to improve the accuracy of the power estimation and effectively regulates the SOFC power output.",

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